2024-04-18 Loti News
2024-04-17
Summary of Yesterday
- Opening:
- Closing:
- Difference of Opening & Closing:
- Daily High:
- Daily Low:
- Difference of Daily High & Low:
Statistical Measures
- Mean:
- Standard Deviation:
Trend
Data Parsing and Conversion to Readable Format
To begin with, the data provided seems to display date and timestamp followed by LSL exchange rates. To provide a comprehensive analysis, this data must first be reorganized and parsed into a readable format.
Overall Trend
Looking at the sequence of information, an almost steady, slight increase in the exchange rate is observable for the majority of the time period. It's crucial to note, however, that this is only a simple observation and a more thorough examination would be required to confirm this trend.
Seasonality or Recurring Patterns
Based on the current state of the data, it is challenging to detect any seasonality or recurring patterns, especially as no specific periods or recurring events are evident from the data provided (e.g., weekends, holidays, market-related events and so on). More refined dataset or delineated periods could assist in uncovering potential cyclical patterns, but the existing data does not make it likely.
Outliers
Due to the sequential consistency of the data, no apparent anomalies or outliers stick out. Any deviation from the broadly linear tendency is relatively small and does not stand out as being significantly dissimilar.
Note
It's critical to highlight that with the data given and considering that no additional external factors are taken into account, the analysis might not be fully optimal. Incorporating variables such as market timings, economic indicators, and financial news might provide a more precise understanding of data trends. However, this initial analysis provides a general understanding of the data's trend.
